Data is king; the most successful businesses tend to collect and generate tons of data. But, when you consider all the different variables, it can quickly become a challenge to analyze oceans of data and rapidly derive valuable insights.That’s where…
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What are Panoply Query Bytes?
Best Practices
Query Bytes’ are a unit of measure to track the compute power used when working with data. At Panoply, they also happen to be the main differentiator between our different pricing tiers. In our usage-based model, Query Bytes are the amount…
Announcing: Panoply on BigQuery
Data Warehousing
After months of conversations and development, we’re thrilled to unveil our latest release: Panoply on Google Cloud BigQuery! After six years of being a solely Redshift shop, we’re partnering with Google to deliver the power of BigQuery and the ease of…
Unraveling Rows: A Deep Dive into Consumption-Based Pricing for ETL
ETL and ELTUnderstanding ETL (Extract, Transform, Load) platform pricing models is crucial for managing data processing costs. ETL platforms typically bill usage based on the amount of data loaded or manipulated monthly. Familiarity with the industry’s pricing models empowers decisionmakers to compare…
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13 Best Reporting Tools & Software For Your Business in 2021
Data StackReporting tools play a vital role in enabling analytics teams to generate up-to-date snapshots of critical business areas that demand attention. These valuable insights are then shared across different departments and teams for monitoring and more.However, the line between reporting…
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MariaDB vs MySQL Performance Comparison
Data Warehousing
Should I use MySQL or MariaDB? That’s probably the question in your mind right now.So in this post you’ll learn what the two products are all about, what they have in common, how they’re different, and in which cases you…
Stripe Sigma: The good, the bad, and the redundant
Data Stack
With Stripe Sigma, businesses that might struggle to put proper data infrastructure in place no longer have to worry about juggling a ton of data tools. Besides giving companies the ability to generate customized reports, Stripe Sigma is also cloud-based,…
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Top 9 MongoDB ETL Tools: ETL MongoDB to NoSQL Server Guide
ETL and ELT MongoDB
ETL is the process of extracting, loading, and transforming data from various sources into a central data repository and is an essential step for turning data into insights. When data is extracted from a relational database, mapping the fields to…
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MongoDB vs MySQL: The Differences Explained
MongoDB“Use MongoDB!” said the first engineer. “No, use MySQL,” said the second. And there you were, watching them fight like football fans supporting their favorite team—MongoDB vs MySQL. Of course, you can’t base technical decisions on feelings. You need to understand…
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Top MySQL ETL Tools
ETL and ELT
If you’re collecting data in a warehouse, you may have come across many data sources and formats. To combine these many formats, you may need to go through the ETL process. In other words, you may need to extract data,…
Can Microsoft SQL Server Work As A Data Warehouse?
Data Stack
So you’re at the stage where you’re thinking about your company’s data management strategy. Good thinking: A McKinsey report estimates that businesses that leverage customer analytics are 23x more likely to acquire new customers faster than their competitors! And they’re…
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Cassandra vs MongoDB Performance: A Battle of the NoSQL DBs
MongoDB
When weighing Cassandra vs. MongoDB, performance, design, and operational variables top the list of considerations. While both systems’ approaches to data storage and manipulation lure users in, the actual processes are different enough to polarize their user bases.This post explores…
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